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Investopedia
investopedia.com › articles › active-trading › 101014 › basics-algorithmic-trading-concepts-and-examples.asp
Basics of Algorithmic Trading: Concepts and Examples
May 29, 2026 - Algorithmic trading attempts to ... lower trading fees. Common trading strategies include trend-following strategies, arbitrage opportunities, and index fund rebalancing....
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Reddit
reddit.com › r/algotrading › list of the most basic algorithmic trading strategies
r/algotrading on Reddit: List of the Most Basic Algorithmic Trading Strategies
September 13, 2025 -

I am currently compiling a list of the most basic strategies used in algorithmic trading.

  • Trend Following (+Momentum)

    • MA Cross

    • EMA Cross

    • MACD (ingpawat)

    • RSI / LRSI (Mike_Trdw)

    • New Low or High

    • ATR (Away-Box793)

    • VWAP

  • Seasonal

    • Sell in May and Stay away

  • Mean Reversion (Mike_Trdw)

    • Mean Reversion To Trend

    • Mean Reversion in Range (The-Goat-Trader)

    • Reverting Market (The-Goat-Trader)

  • Momentum Rotation (Tactical Allocation) (The-Goat-Trader)

  • Grid Trading (Mike_Trdw)

  • Arbitrage

  • Offset Trades / Trading Pairs

  • Index fund rebalancing

  • Market timing

  • Scalping

  • Price Pattern / Candle Stick

  • Price Forecasting

    • Neural Networks

  • News-based

  • Market Sentiment

  • Trend line

    • Break

    • Bounce

  • Standard SMA

    • break (SMA 20D, 50D, 100D, 150D, 200D)

    • bounce

  • Range Breakout

    • Open Range Break Out

    • Horizontal Compression Breakout

    • Wedge Compression Breakout

  • Options

    • Covered calls (Chuyito)

    • "The Wheel" on LargeCaps (faancy5050)

    • Short Iron Condor on SPY 0DTEs (faancy5050)

    • Long Straddle or Long Strangle on any earnings (faancy5050)

  • Smart Money Concepts (good read, Franco_Love)

  • "Martingale" (reckless_homicide)

    • Me: It is risky but it is a classic and basic strategy for you to play with. There are good papers on it too, so it made the list.

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  • BT_2112 mentioned that most of those strategies can profit from applying those on multiple timeframes simultanously. Since I do this too when it comes to my manual trading, I can see how this can be a very good improvement/factor when it comes to algorithmic trading.

  • EntrepreV Just dropped the content bomb on us. He mentioned the paper 151 Trading Strategies which is just 370 pages of 151 trading strategies explained including formulas and stuff. I have yet to start reading, but I guess, if you want to have some more strategies to choose from, this might take home the whole cake. Many thanks!

  • disaster_story_69 Mentioned having a visit of Trading Views library of pine scripts. I took a look, and it looks like a ton of content one can mine, especially if the pine scripts open source.

    • Link to the library (filter = strategies): https://www.tradingview.com/scripts/?script_type=strategies

    • Link to the editor's picks (filter = strategies): https://www.tradingview.com/scripts/editors-picks/?script_type=strategies

    • While some is noise, some others look like driving legit strategies

  • artemiusgreat mentioned several sites dedicated to algorithmic trading (I briefly checked the costs)

    • Free: MQL5 Codebase: https://www.mql5.com/en/code/mt5/experts

    • 600$-1200$/year:

      • Papers with backtests: https://paperswithbacktest.com/

      • Quantpedia: https://quantpedia.com/screener

      • QC codebase: https://www.quantconnect.com/research/

  • The-Goat-Trader (got his comment removed for unknown reasons) mentioned Momentum Rotation and pointed to the sources Gary Antonacci GEM, Ned Davis or Meb Faber 3-Way Model, Andreas Clenow for further informations.

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If you want to add to the list, just drop a comment and I will edit the post and add it together with an honorary mention of your username. (If two suggest the same strategy twice, time of comment will be the deciding factor).

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I simply want to implement different strategies and see which is performing which way to test my software and also broaden my knowledge.

Thanks for participating!

Discussions

List of the Most Basic Algorithmic Trading Strategies
This is a good start but there is a really good research paper that I do recommend, I personally built 2 successful strategies from the stock section ( won't say exactly what I used ), but it also has strategies for every type of thing, like options, futures, all that stuff. Read it, don't copy the strategies exactly, but use them as basis which you can then fine tune in order to get high returns, one strategy that i developed from here is consistenly making around 70 - 95 percent a year in annualized returns. Just search up 151 trading strategies I think it was written by Z. Kakushadze. More on reddit.com
🌐 r/algotrading
173
585
September 13, 2025
Which algo trading strategy do you use most and why?
Ema crossovers 3/7 and 9/21 I take 3/7 crossovers after retracements on the larger 9/21 trend. Works really well. More on reddit.com
🌐 r/algorithmictrading
15
7
November 22, 2025
Where to find good strategies?
Almost all profitable strategies aren’t public. Start learning to make your own More on reddit.com
🌐 r/algotrading
37
21
November 4, 2024
What’s your go-to approach for building algo trading strategies? 🤔
Here's an example, my bot works best in asia session, i run it for 1-2 hours only.. after few months of testing i wrote down few important rules and this EA is working like a charm. Since monday it made 18$ completely hands-free. It's low capital account and we have strict rules about RR, but thats a daily wage so, im happy with it. More on reddit.com
🌐 r/TradingView
44
23
November 13, 2024
People also ask

How do you develop an Algo trading strategy?
To develop an algo trading strategy or automated trading strategy, you need to identify a set of rules that a trading platform can follow without human intervention. For example, a simple algo trading strategy might be to “buy 100 shares of Apple whenever the 50-day moving average crosses above its 200-day moving average.” You might also add conditions like “do not trade more than 500 shares in any 24-hour period.”
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wallstreetzen.com
wallstreetzen.com › blog › algorithmic trading strategies: basic to advanced algo overview
Algorithmic Trading Strategies: Basic to Advance Algo Overview
What is the success rate of algo trading?

There’s no single success rate applicable to all algo trading. The success rate varies widely and depends on the sophistication of the algorithm and the markets in which it’s used. Remember, all trading involves risk and success is never guaranteed.

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ig.com
ig.com › learning › strategy and planning › your guide to the top 5 algorithmic trading strategies
Top 5 Algorithmic Trading Strategies | IG International
How profitable is algorithmic trading?
Algo trading can be very profitable with the right strategy. Of course, like all investments, higher returns typically entail taking on higher risk. This might mean larger-sized bets with a more aggressive model.
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wallstreetzen.com
wallstreetzen.com › blog › algorithmic trading strategies: basic to advanced algo overview
Algorithmic Trading Strategies: Basic to Advance Algo Overview
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QuantInsti
quantinsti.com › articles › algorithmic-trading-strategies
Algorithmic Trading Strategies | Types, Creation, Risk Management & Applications
September 17, 2025 - These strategies are coded as the programmed set of instructions to make way for favourable returns for the trader. The set of instructions to the computer is given in programming languages (such as C, C++, Java, Python). Following which, the computer can generate signals and take the trading position accordingly. These strategies are thus known as algorithmic trading strategies.
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IG
ig.com › learning › strategy and planning › your guide to the top 5 algorithmic trading strategies
Top 5 Algorithmic Trading Strategies | IG International
November 18, 2024 - Learn more about algorithmic (algo) trading. Explore the 5 most popular algo trading strategies, including trend following, arbitrage, mean reversion and others.
method of executing orders using automated pre-programmed trading instructions
Algorithmic trading - Wikipedia
algorithmic trading percentage of market volume
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and … Wikipedia
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Wikipedia
en.wikipedia.org › wiki › Algorithmic_trading
Algorithmic trading - Wikipedia
14 hours ago - However, it is also available to private traders using simple retail tools. Algorithmic trading is widely used in equities, futures, crypto, and foreign exchange markets. The term algorithmic trading is often used synonymously with automated trading system. These encompass a variety of trading strategies...
Find elsewhere
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Finzer
finzer.io › en › blog › algorithmic-trading-strategies
algorithmic trading strategies: A Practical Guide | Finzer
Beyond these foundational models, traders deploy more specialized strategies to capture unique opportunities. Event-Driven Strategies: These algos are built to react instantly to specific news. Think earnings announcements, mergers, or major economic data releases.
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WallStreetZen
wallstreetzen.com › blog › algorithmic trading strategies: basic to advanced algo overview
Algorithmic Trading Strategies: Basic to Advance Algo Overview
3 weeks ago - For example, a simple algo trading strategy might be to “buy 100 shares of Apple whenever the 50-day moving average crosses above its 200-day moving average.” You might also add conditions like “do not trade more than 500 shares in any ...
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Luxalgo
luxalgo.com › blog › top-10-algo-trading-strategies-for-2025
Top 10 Algo Trading Strategies for 2025
June 26, 2025 - RSI-Driven Momentum Systems — Multi-time-frame scripts that adapt RSI thresholds dynamically for high-probability reversal or continuation trades. Neural-Network Price Forecasting — Hybrid LSTM / CNN models delivering up to 96 % directional accuracy on minute-level data. SVM Trend-Classification Models — Support-vector machines that label market regimes (bull, bear, sideways) in high-dimensional feature space. Statistical-Arbitrage (Pairs & Basket) — Cointegration-based engines exploiting temporary divergence between correlated assets. Low-Latency Market-Making Algorithms — Quote-driven models providing bid/ask liquidity in microseconds with FPGA hardware and co-location.
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StoneX
stonex.com › stonex home › business › financial glossary › algorithmic trading
Algorithmic trading- expert examples and strategies | StoneX EN
June 5, 2026 - Depending on the sophistication of your system, some algo trading strategies utilize AI techniques like machine learning to adapt to market trends or large language models (LLMs) to monitor financial news and off-market sentiment.
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Corporate Finance Institute
corporatefinanceinstitute.com › home › resources › algorithms (algos)
Algorithms (Algos)
March 16, 2026 - Any good strategy for algorithm trading must aim to improve trading revenues and cut costs of trading. The most popular strategies are arbitrage, index fund rebalancing, mean reversion, and market timing.
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Forex Tester
forextester.com › blog › algorithmic-trading-strategies
Algorithmic Trading Strategies: Build, Backtest, and Optimize | FTO
July 8, 2025 - Check the top algo trading strategies including trend following, arbitrage, and mean reversion. Learn how to create, backtest, and optimize your automated trading strategy.
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QuantVPS
quantvps.com › home › blog › algorithmic trading strategies: types, examples & how to build profitable systems
Algorithmic Trading Strategies: Types, Examples & How to Build Profitable Systems
February 16, 2026 - Choosing the right algorithmic trading strategy hinges on your trading objectives, market behavior, and personal preferences. For instance, trend-following strategies are ideal for markets that show clear directional movement, while mean reversion strategies are better suited for markets that fluctuate around an average price. Key considerations include your risk tolerance, the type and quality of data you have access to, and the assets you plan to trade.
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Quantified Strategies
quantifiedstrategies.com › 7-best-algo-trading-strategies-for-beginners
7 Best Algo Trading Strategies for Beginners - QuantifiedStrategies.com
April 2, 2026 - Combining the 200-day moving average with short-term entries is one of the best algo trading strategies for beginners looking for consistent equity growth with reduced volatility.
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Medium
medium.com › coding-nexus › top-14-algorithmic-trading-strategies-and-how-they-actually-work-1cdd084692ec
Top 14 Algorithmic Trading Strategies (and How They Actually Work) | by Algo Insights | Coding Nexus | Medium
January 4, 2026 - In this article, we’ll break down the most popular algorithmic trading strategies. ... Some assets move together. When they temporarily diverge, we bet they’ll come back together. ... spread = price_A - price_B if spread > spread.mean(): short_A() long_B() elif spread < spread.mean(): long_A() short_B() This strategy is market-neutral, meaning it doesn’t care if the market goes up or down. Take many tiny profits instead of a few big ones. Scalpers may place hundreds of trades per day, aiming to capture small price movements.
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QuantMan
quantman.trade › blog › a-beginners-guide-to-build-a-profitable-algo-trading-strategy
Build a Profitable Algo Trading Strategy: A Beginner's Guide
February 4, 2026 - It includes steps like setting trading goals, choosing a platform like QuantMan, developing and testing strategies, and using risk management techniques. ... Algo trading or algorithmic trading has transformed the landscape of financial markets, ...
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Composer
composer.trade › learn › examples-of-best-algorithmic-strategies
9 Examples of Established Algorithmic Trading Strategies (And how to implement them without coding) – Composer
September 25, 2024 - Interested in learning more about the possibilities of algorithmic trading? Here we outline common strategies with concrete examples.
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Findoc
findoc.com › blog › 5-algorithmic-trading-strategies
Top 5 Algo Trading Strategies with Examples (2026) | Findoc
June 1, 2026 - Discover the top 5 algo trading strategies used in 2026, including arbitrage, mean reversion, and VWAP. Learn how algo trading works in the Indian stock market.
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QuantStart
quantstart.com › articles › How-to-Identify-Algorithmic-Trading-Strategies
How to Identify Algorithmic Trading Strategies | QuantStart
I'll explain how identifying strategies is as much about personal preference as it is about strategy performance, how to determine the type and quantity of historical data for testing, how to dispassionately evaluate a trading strategy and finally how to proceed towards the backtesting phase and strategy implementation. In order to be a successful trader - either discretionally or algorithmically ...
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CFTC
cftc.gov › sites › default › files › idc › groups › public › @economicanalysis › documents › file › oce_algorithmictradingstrateg.pdf pdf
1 Gaussian Process-Based Algorithmic Trading Strategy Identification
Several illustrative HFT strategies include: (1) acting as an ... trading practices to the market quality including liquidity, price discovery process, trading costs, etc. On the empirical side, some researchers have been able to identify a specific HFT in data, and others are able to identify whether a trade is from algorithmic traders.